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Using self organizing map to infer communities in weblogs' social network
, Article 2007 IADIS European Conference on Data Mining, DM 2007, part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007, 3 July 2007 through 8 July 2007 ; 2020 , Pages 58-64 ; Abolhassani, H ; Khalilian, M ; Sharif University of Technology
IADIS Press
2020
Abstract
Nowadays users of the Web are encouraged to generate content on the Web by themselves. Weblogs are the most popular tools to do this. In fact Weblogs are one kind of social networks and they are one of the most important components in Web 2.0. Blogs are often situated within a Blog community of similar interest. These communities can be a useful way for readers to access space slice of millions of Weblogs. In this paper we introduce a new algorithm to infer communities based on their link structure. This algorithm uses self organizing maps to identify communities among Weblogs. The link pattern of each Weblog is the input for SOM. © 2007 IADIS
BlogDisc: A system for automatic discovery and accumulation of persian blogs
, Article 2006 International Conference on Systems, Computing Sciences and Software Engineering, SCSS 2006, Part of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, CISSE 2006, 4 December 2006 through 14 December 2006 ; 2007 , Pages 269-273 ; 9781402062636 (ISBN) ; Abolhassani, H ; Abbassi, Z ; Sharif University of Technology
2007
Abstract
One of the important elements of the new generation of the Web is the emergence of blogs. Currently a considerable number of users are creating content using blogs. Although Persian blogs have a short history, they have improved significantly during this short period. Because of fundamental differences between Persian and other languages, limited work has been done to analyze Persian blogs. In this work, a system named BlogDisc for automatic discovery and accumulation of Persian blogs is developed. This system uses content as well as link structure of the blogs. As an important part of this research, we propose an algorithm to recognize blogs that are not hosted on special blog hosts. © 2007...
Incremental Representative Words Extraction of Persian Weblogs with Change of Theme Detection Using Graph Approach
, M.Sc. Thesis Sharif University of Technology ; hodsi, Mohammad (Supervisor)
Abstract
Although dimension reduction techniques for text documents can be used for preprocessing of blogs, these techniques will be more effective if they deal with the nature of the blogs properly. In this project we propose a novel algorithm called PostRank using shallow approach to identify theme of the blog or blog representative words in order to reduce the dimensions of blogs. PostRank uses a graph-based syntactic representation of the weblog by taking into account some structural features of weblog. At the first step it models the blog as a complete graph and assumes the theme of the blog as a query applied to a search engine like Google and each post as a search result. It tries to rank the...